This dataset consists of electroencephalogram (EEG) signals collected by the 64 channel EEG device SynAmps2. ###Participants and Conversations This experiment included 54 participants. 2 participants
SpikeNet2 is an advanced deep learning model for automated detection of epileptiform discharges (spikes) in electroencephalogram (EEG) recordings. The model achieves expert-level performance in both e
The study was approved by the ethical committee Sud M�dit�rann�e II (217 R01). Twenty individuals with a schizophrenia spectrum disorder (schizophrenia or schizoaffective disorder, 16 males, 4 females
To assess the extent of the modulation of the electroencephalographic (EEG) power of the alpha frequency band (8–12 Hz) in the visual areas and its relationship with suture performance to quantify the
Dataset for event encoded analog EEG signals for detection of Epileptic seizures This dataset contains events that are encoded from the analog signals recorded during pre-surgical evaluations of pat
